FinOps AI/ML Engineering Lead for Cloud Cost Automation

Accenture PLC; Illinois; Presencial; AUD 120 000 - 180 000; Tempo integral

Resumo da oferta

Accenture PLC is seeking an experienced solution architect and delivery leader for cloud advisory. You will design agentic AI orchestration patterns across AWS, Azure, and GCP, establish cost governance frameworks, and lead squads delivering automation and policy libraries in multi-cloud environments.

Role requires deep cloud engineering and FinOps leadership, with emphasis on responsible AI, security, and compliance. Travel may be required as client projects demand.

Qualificações

• 8–12 years in cloud engineering, AI automation, or platform architecture.
• 3–5 years leading FinOps automation programs.
• 1 year experience in agentic AI frameworks (LangGraph, AutoGen, Crew-style patterns) and MCP integration.
• Bachelor’s degree in CS/Engineering/IT/Data or equivalent (12 years work exp)

Responsabilidades

• Define reference architectures for agentic AI orchestration across multi-cloud environments.
• Establish cost governance frameworks with budget thresholds, tagging, anomaly detection.
• Lead squads to implement agentic workflows, IaC modules, and policy libraries; ensure CI/CD integration and automated compliance checks.
• Mentor associates on automation best practices and FinOps standards.
• Operationalize Responsible AI standards with RBAC, secrets management, and auditability.
• Define KPIs for automation coverage and savings; publish dashboards and executive readouts.
• Support proposals, client workshops, and SOWs for agentic-enabled FinOps programs.

Conhecimentos

8–12 years cloud engineering / AI

3–5 years FinOps automation leadership

1 year agentic AI frameworks

Formação académica

Bachelor’s degree in CS/Engineering/IT/Data (or equivalent)

Ferramentas

Python

TypeScript

Terraform

Bicep

ARM

OPA/Rego

Sentinel

GitHub Actions

Azure DevOps

Descrição da oferta de emprego

Accenture PLC is seeking an experienced solution architect and delivery leader for cloud advisory. You will design agentic AI orchestration patterns across AWS, Azure, and GCP, establish cost governance frameworks, and lead squads delivering automation and policy libraries in multi-cloud environments.

Role requires deep cloud engineering and FinOps leadership, with emphasis on responsible AI, security, and compliance. Travel may be required as client projects demand.